Artificial intelligence decision
models must be governed as structured business processes rather than isolated
technology assets to prevent lost returns and accumulated risks. It introduces
the Integrated Process Excellence (IPE) framework, a six-step methodology that
ensures every AI decision has a defined purpose, a named owner, and transparent
operational boundaries before deployment.
By using a KIV-KPV-KOV causal
data architecture, organizations can effectively link input variables and model
processes directly to tangible business outcomes. Furthermore, the text
emphasizes implementing strict control limits, reaction plans, and continuous
improvement loops to detect drift and address root causes instead of relying
solely on repetitive retraining.
Ultimately, aligning AI
governance with this comprehensive process discipline provides operators with
trust, regulators with auditable trails, and leaders with sustainable
scalability.
For the article:
https://drive.google.com/file/d/1edY6on4ovh16vW68_tYhPT_aZlgCPVbj/view
For the video:
John Cachat
johncachat@ipe.services
www.ipe.services
Reference Material
Books on Amazon
https://www.amazon.com/stores/John-Cachat/author/B0G4NB66MD
LinkedIn Articles
https://www.linkedin.com/in/johncachat/recent-activity/articles/
YouTube Videos
https://www.youtube.com/@ipeservices/videos
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